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operations mngmt
Operations management stevenson
| Question | Answer |
|---|---|
| Hierarchy of decisions | strategic decisions establish the framework for tactical decisions which in turn establish the framework for operatiing |
| craft production | one person (or perhaps a small crew) would be responsible for making the product from start to finish. |
| division of labor | "an operation, such as assembling an automobile, is broken up into a series of small tasks and one of those tasks is assigned to a worker who repeats it on each individual product." |
| e-business | "involves the use of the Internet to transact business, sometimes with customers, sometimes with suppliers." |
| lead time | length of time needed to fill an order or to receive an order from a supplier. |
| lean production | "a production system which emphasizes quality, flexibility, time reduction and teamwork. It has led to a flattening of the organizational structure with fewer levels of management." |
| mass production | "large volumes of standardized goods are produced by low-skilled or semi-skilled workers using highly specialized, and often costly, equipment." |
| associative forecasting | forecasting such as regression that estimates the effects of a causal variable or variables upon a dependent variable. |
| bias | The tendency of forecast errors to be successively positive or negative. |
| centred moving average | a moving average that is positioned at the middle of the group of numbers it represents. |
| control chart | a technique for monitoring the accuracy of forecasts. Acceptable forecast errors fall within control limits which are multiples of the MSE. Control charts are used heavily in quality control and are discussed at greater length in CHAPTER 10. |
| control limits | the outer limits (positive and negative) of acceptable values of the tracking signal. Values outside of the control limits indicate problems with the forecasts. |
| correlation | the degree to which the values of two variables have a tendency to change in the same (or opposite) directions. |
| cycles | recurrent fluctuations up and down in a time series occurring over a period of years. |
| decomposition | "isolating seasonal cyclical, trend and random effects in a time-series data." |
| Delphi technique | "forecasting that forms a consensus of qualified experts, in a series of stages; the results of the questionnaire at one stage are used to redesign the questionnaire at the next stage, and, if necessary, to redefine the problem for which the predictions a |
| dependent variable | the variable whose value is to be predicted or estimated; symbolized by y. |
| double exponential smoothing | (trend-adjusted exponential smoothing) "removing the lag inherent in single exponential smoothing, by a model that combines single exponential smoothing of the raw data with secondary exponential smoothing of the predictions." |
| error | the difference between the actual value and the value that was forecasted for the same time. |
| exponential smoothing | the forecasted value consists of the previous period's forecast plus a percentage of the forecast error. |
| Forecast | a statement about the future. |
| irregular variation | variation caused by unusual circumstances. |
| judgmental forecast | a forecast based entirely upon the experience and personal opinions of a qualified expert. |
| lag | "a specified difference between actual and forecasted values, expressed in time units (e.g., years), rather than in customary physical or monetary units." |
| least squares line | the line which minimizes the sum of the squared deviations of the data points of the dependent variable from the line. |
| linear trend line | the least squares line which has time as the causal variable. |
| mean absolute deviation (MAD) | the average of the absolute differences between the actual values and the predictions. |
| mean square error (MSE) | the variance computed by averaging the squared differences between the predicted and the actual values. |
| moving average | "a sequence of averages, derived from a set of time-series data, for a period of time, such as a season, week, month or day; each average covers n such periods and is computed by deleting the first period from the previous MA, and adding in the most recen |
| naive forecast | "a prediction that the value in the next period will be the same as what it is in the current period, or else that the difference between the current period and the next one will be the same as the difference between the current period and the most recent |
| predictor variable | variable that can be used to predict values of the variable of interest; symbolized by x. |
| random variation | residual variation after all other factors are accounted for. |
| regression | a technique for generating forecasts by computing a linear (straight-line) equation that shows the influence of a causal variable upon the dependent variable whose values are being forecasted. |
| seasonality | "fluctuations up or down in a time series which recur regularly, often annually." |
| seasonal relative | "an index that expresses the degree to which the values of a time series in a particular season tend to vary from the ""average"" if there were no seasonal variations." |
| time series | "a time-ordered sequence of observations, made at regular intervals." |
| tracking signal (TS) | "a measure of the difference between the forecasted and the actual values; a good forecast will always have a TS within a range centring on zero, for example ±4, and there would be about the same number of values above zero as below zero." |
| trend | a long-term tendency of a time series to increase or decrease. |
| weighted average | more recent values in a time series are given more weight in computing a forecast. |
Created by:
lisamk161
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